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Machine Learning and Intelligent Communications. 4th International Conference, MLICOM 2019, Nanjing, China, August 24–25, 2019, Proceedings

Research Article

Partially Overlapping Channel Selection in Jamming Environment: A Hierarchical Learning Approach

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  • @INPROCEEDINGS{10.1007/978-3-030-32388-2_12,
        author={Lei Zhao and Jincheng Ge and Kailing Yao and Yifan Xu and Xiaobo Zhang and Menglan Fan},
        title={Partially Overlapping Channel Selection in Jamming Environment: A Hierarchical Learning Approach},
        proceedings={Machine Learning and Intelligent Communications. 4th International Conference, MLICOM 2019, Nanjing, China, August 24--25, 2019, Proceedings},
        proceedings_a={MLICOM},
        year={2019},
        month={10},
        keywords={Intelligent anti-jamming Stackelberg game Channel selection Partially overlapping channel},
        doi={10.1007/978-3-030-32388-2_12}
    }
    
  • Lei Zhao
    Jincheng Ge
    Kailing Yao
    Yifan Xu
    Xiaobo Zhang
    Menglan Fan
    Year: 2019
    Partially Overlapping Channel Selection in Jamming Environment: A Hierarchical Learning Approach
    MLICOM
    Springer
    DOI: 10.1007/978-3-030-32388-2_12
Lei Zhao,*, Jincheng Ge1,*, Kailing Yao,*, Yifan Xu,*, Xiaobo Zhang2,*, Menglan Fan3,*
  • 1: Unit 95965 of PLA
  • 2: PLA Army Engineering University
  • 3: Unit 31102 of PLA
*Contact email: leizhao365@163.com, gejincheng@hotmail.com, kailing-yao@126.com, yifanxu@163.com, xb_zhang2008@126.com, fanmenglan@126.com

Abstract

This paper solves the channel selection with anti-jamming problem using partially overlapping channel (POC) in limited spectrum environment. Since it is difficult for users to obtain global information of networks, this paper realizes the coordination of channel access by the local information interaction. The channel selection with anti-jamming problem is formulated as a Stackelberg game where the jammer acts as leader and users act as followers. We prove that the game model exists at least one Stackelberg equilibrium (SE) solution. To achieve the equilibrium, a hierarchical learning algorithm (HLA) is proposed. Based on the proposed method, the system can achieve the improvement of throughput performance by minimizing local interference. Simulation results show the proposed algorithm can achieve good performance under jamming environment, and the network throughput can maintain a stable state with the jamming intensity increasing.

Keywords
Intelligent anti-jamming Stackelberg game Channel selection Partially overlapping channel
Published
2019-10-28
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-32388-2_12
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